Cascading Failure Tolerance in Large-Scale Service Networks

Kemas M. Lhaksmana, Yohei Murakami, Toru Ishida

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

The rapid growth of services and the Internet of Things vision lead to the future of Internet in which a massive number of services are available and connected to each other. In such service network, dependency between services potentially causes cascading failure, where the failure of one service can cause the failure of dependent services. Cascading failure tolerance is determined by the topology of the network and the degree of service interdependency. As to the former, we analyze cascading failure in scale-free, exponential, and random service networks. We find that scale-free topology has generally the highest tolerance. This is contrast to cascading failure in power network, where random topology provides better tolerance. For the latter, we find that the number of cascade failed nodes increases as the inverse of the average number of alternate services, e.g. Functionally equivalent services. This suggests that increasing the number of alternate services can significantly improve the network tolerance if each service only has few alternate services available.

本文言語English
ホスト出版物のタイトルProceedings - 2015 IEEE International Conference on Services Computing, SCC 2015
編集者Wu Chou, Paul P. Maglio, Incheon Paik
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-8
ページ数8
ISBN(電子版)9781467372817
DOI
出版ステータスPublished - 2015 8 17
外部発表はい
イベントIEEE International Conference on Services Computing, SCC 2015 - New York, United States
継続期間: 2015 6 272015 7 2

出版物シリーズ

名前Proceedings - 2015 IEEE International Conference on Services Computing, SCC 2015

Conference

ConferenceIEEE International Conference on Services Computing, SCC 2015
CountryUnited States
CityNew York
Period15/6/2715/7/2

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications

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